18526910. CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS simplified abstract (Intel Corporation)
Contents
- 1 CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS
Organization Name
Inventor(s)
John J. Browne of Limerick (IE)
Laurent Coquerel of Limerick (IE)
CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18526910 titled 'CIRCUITRY TO PERFORM PARTIAL DECOMPRESSION OPERATIONS
Simplified Explanation
The patent application describes an accelerator with circuitry that can access and decompress compressed data based on calls to an application programming interface (API).
- The circuitry can decompress at least a subset of the data and output a strict subset of the decompressed data based on certain API calls.
- The circuitry can also decompress the entirety of the data and output the decompressed data based on different API calls.
Potential Applications
This technology could be applied in:
- Data compression and decompression systems
- High-speed data processing applications
Problems Solved
This technology addresses:
- Efficient data handling and processing
- Accelerating data decompression tasks
Benefits
The benefits of this technology include:
- Faster data decompression speeds
- Improved overall system performance
Potential Commercial Applications
A potential commercial application for this technology could be in:
- Cloud computing services for faster data processing
Possible Prior Art
One possible prior art for this technology could be:
- Hardware accelerators for data compression and decompression tasks
Unanswered Questions
How does this technology compare to software-based data decompression methods?
This article does not provide a direct comparison between hardware-based acceleration and software-based data decompression methods.
What are the limitations of the circuitry in terms of data size and complexity?
This article does not address the potential limitations of the circuitry in handling large or complex datasets.
Original Abstract Submitted
Examples described herein relate to an accelerator that includes an interface and circuitry coupled to the interface. In some examples, the circuitry is configured to access compressed data, decompress the compressed data, and output the decompressed data based on a call to an application programming interface (API). In some examples, based on a first call to the API having first values, the circuitry is to decompress at least a subset of the data and output at least one strict subset of the decompressed data. In some examples, based on a second call to the API having second values, the circuitry is to decompress an entirety of the data and output the decompressed data.
